Abstract

Treatment decisions for breast cancer are based on staging and hormone receptor expression and include chemotherapies and endocrine therapy. While effective in many cases, some breast cancers are resistant to therapy, metastasize and recur, leading to eventual death. Higher percentages of tumor-initiating cancer stem cells (CSCs) may contribute to the increased aggressiveness, chemoresistance, and worse outcomes among breast cancer. This may be particularly true in triple-negative breast cancers (TNBCs) which have higher percentages of CSCs and are associated with worse outcomes. In recent years, increasing numbers of long non-coding RNAs (lncRNAs) have been identified as playing an important role in breast cancer progression and some of these have been specifically associated within the CSC populations of breast cancers. LncRNAs are non-protein-coding transcripts greater than 200 nucleotides which can have critical functions in gene expression regulation. The preclinical evidence regarding lncRNA antagonists for the treatment of cancer is promising and therefore, presents a potential novel approach for treating breast cancer and targeting therapy-resistant CSCs within these tumors. Herein, we summarize the lncRNAs that have been identified as functionally relevant in breast CSCs. Furthermore, our review of the literature and analysis of patient datasets has revealed that many of these breast CSC-associated lncRNAs are also enriched in TNBC. Together, this suggests that these lncRNAs may be playing a particularly important role in TNBC. Thus, certain breast cancer-promoting/CSC-associated lncRNAs could be targeted in the treatment of TNBCs and the CSCs within these tumors should be susceptible to anti-lncRNA therapy.

Highlights

  • Departments of Pathology, Dalhousie University, Halifax, NS B3H 4R2, Canada; Departments of Microbiology & Immunology, Dalhousie University, Halifax, NS B3H 4R2, Canada

  • Twist-induced long non-coding RNAs (lncRNAs) that directly targets growth arrest-specific 1 (GAS1) to initiate Hh signaling in breast cancer, promoting SRY box 2 (SOX2) and octamer-binding transcription factor 4 (OCT4) expression, epithelial-mesenchymal transition (EMT), tumorigenesis, and cells with cancer stem cells (CSCs) properties [77]

  • UCA1, upregulated in bladder cancer, could be inhibited by transcript-specific CRISPR/Cas9-associated gRNAs in vitro and in vivo, demonstrating its potential therapeutic value [131]. These findings suggest that there are strategies in development that will enable the clinical targeting of functionally characterized oncogenic lncRNAs that are specific to certain breast cancer subtypes (e.g., triple-negative breast cancers (TNBCs)/basal-like breast cancer) and the CSCs within these tumors

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Summary

TNBCs and CSCs – in Need of New Targets

Breast cancer is a heterogeneous disease, categorized clinically based on expression of hormone receptors, estrogen receptor (ER), progesterone receptor (PR), or human epidermal growth factor 2 receptor (HER2) [1]. Breast tumors lacking expression of these receptors, termed triple-negative breast cancers (TNBCs), are treated primarily with chemotherapies and are associated with worse outcomes, at least in part due to therapy resistance [3]. The aggressiveness of TNBC/basal-like breast cancers has been attributed to the enrichment of cancer stem cell (CSC) populations within these subtypes [6,7,8,9,10,11,12,13,14]. Most concerning in terms of mitigating the risk of metastasis and recurrence in the treatment of TNBC/basal-like breast cancers is the resistance of CSCs to chemotherapies [16]. Given the high abundance of CSCs within TNBC/basal-like breast cancer, novel therapies that target CSCs may better reduce the risk of relapse and improve the outcomes of TNBC patients. RNAs [41,42,43,44]

A Role for lncRNAs in Breast Cancer
Breast CSC-Associated lncRNAs
MALAT1
LINC-ROR
LINC01133
3.10. LINC00617
3.12. SPRY4-IT1
3.13. LncRNA-Hh
3.15. LINC00511
3.16. FEZF1-AS1
3.18. LncRNA-HAL
Clinical Value of Breast CSC-Associated lncRNAs in TNBC
Therapeutic Targets
Challenges
Biomarkers
Findings
Conclusions
Full Text
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